AMD Radeon Instinct MI25 Deep Learning Accelerator Unveiled

This week AMD have officially unveiled the new Radeon Instinct family accelerators for deep learning which includes the Radeon Instinct MI25, which has 16GB of HBM2 memory based on a Vega 10 GPU with 4096 Stream cores and a 300W TDP.

AMD has created three initial accelerators which have been created to address a wide range of machine intelligence applications. ThisSpecifications of the AMD Radeon Instinct MI25 Deep Learning Accelerator include:

– The Radeon Instinct MI25 accelerator, based on the “Vega” GPU architecture with a 14nm FinFET process, will be the world’s ultimate training accelerator for large-scale machine intelligence and deep learning datacenter applications. The MI25 delivers superior FP16 and FP32 performance in a passively-cooled single GPU server card with 24.6 TFLOPS of FP16 or 12.3 TFLOPS of FP32 peak performance through its 64 compute units (4,096 stream processors). With 16GB of ultra-high bandwidth HBM2 ECC GPU memory and up to 484 GB/s of memory bandwidth, the Radeon Instinct MI25’s design is optimized for massively parallel applications with large datasets for Machine Intelligence and HPC-class system workloads.

– The Radeon Instinct MI8 accelerator, harnessing the high-performance, energy-efficiency of the “Fiji” GPU architecture, is a small form factor HPC and inference accelerator with 8.2 TFLOPS of peak FP16|FP32 performance at less than 175W board power and 4GB of High-Bandwidth Memory (HBM) on a 512-bit memory interface. The MI8 is well suited for machine learning inference and HPC applications.

– The Radeon Instinct MI6 accelerator, based on the acclaimed “Polaris” GPU architecture, is a passively cooled inference accelerator with 5.7 TFLOPS of peak FP16|FP32 performance at 150W peak board power and 16GB of ultra-fast GDDR5 GPU memory on a 256-bit memory interface. The MI6 is a versatile accelerator ideal for HPC and machine learning inference and edge-training deployments.